Job Description
Job Description
We are seeking a skilled Oracle PL/SQL Developer to design, build, and optimize high‑performance data processing and integration solutions. The ideal candidate will have strong expertise in PL/SQL development, SQL performance tuning, and large‑scale data processing, and will work closely with cross‑functional stakeholders to support modernization and data-driven initiatives.
Required Skills & Experience
- Strong hands-on experience in Oracle PL/SQL development and advanced SQL scripting
- Demonstrated ability to write optimized, scalable, and maintainable PL/SQL code
- Proven expertise in SQL performance tuning and query optimization
- Experience implementing exception handling, logging, and fault-tolerant mechanisms
- Solid understanding of data transformation, ETL processing, and batch workflows
- Experience working with large data volumes and high‑throughput systems
- Good understanding of data modeling concepts (OLTP, Data Warehouse, Data Marts)
- Strong analytical, troubleshooting, and problem‑solving skills
Key Responsibilities
- Develop, maintain, and enhance Oracle PL/SQL packages, procedures, and functions for enterprise data processing
- Implement robust data transformation, aggregation, and validation logic
- Design and implement error handling, logging, and exception management frameworks
- Optimize complex SQL queries and PL/SQL code for performance, scalability, and reliability
- Build and support batch data processing pipelines and data integration workflows with internal and external systems
- Analyze and support redesign or modernization of existing systems and data flows
- Work with large datasets in performance‑critical environments
- Collaborate with business and technical stakeholders to gather requirements and deliver effective solutions
- Support testing, troubleshooting, issue resolution, and production stability
- Ensure compliance with data quality, security, and governance standards
Preferred / Nice To Have
- Experience with ETL tools such as Informatica or modern data platforms like Snowflake
- Exposure to Python, Java, or API‑based system integrations
- Familiarity with cloud platforms such as AWS or Azure
- Experience with job orchestration tools (e.g., Control‑M, Airflow)
- Understanding of DevOps practices, including CI/CD, Git, Jenkins, and Docker
- Experience working in Agile delivery environments (Scrum/Kanban)
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